Open Ad Hoc Teamwork using Graph-based Policy Learning. - Arrasy Rahman; Niklas Höpner; Filippos Christianos; Stefano V. Albrecht (CoRR, 2020)

Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning. - Arrasy Rahman; Niklas Höpner; Filippos Christianos; Stefano V. Albrecht (ICML, 2021)

Leveraging Class Abstraction for Commonsense Reinforcement Learning via Residual Policy Gradient Methods. - Niklas Höpner; Ilaria Tiddi; Herke van Hoof (IJCAI, 2022)

A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning. - Arrasy Rahman; Ignacio Carlucho; Niklas Höpner; Stefano V. Albrecht (J. Mach. Learn. Res., 2023)

Data Augmentation for Instruction Following Policies via Trajectory Segmentation. - Niklas Höpner; Ilaria Tiddi; Herke van Hoof (AAAI, 2025)

Making Universal Policies Universal. - Niklas Höpner; David Kuric; Herke van Hoof (AAMAS, 2025)

Automatic Evaluation Metrics for Artificially Generated Scientific Research. - Niklas Höpner; Leon Eshuijs; Dimitrios Alivanistos; Giacomo Zamprogno; Ilaria Tiddi (CoRR, 2025)